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» Color Recognition by Learning: ATR in Color Images
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CVPR
2011
IEEE
12 years 11 months ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
ICIP
2007
IEEE
14 years 9 months ago
Unsupervised Lips Segmentation Based on ROI Optimisation and Parametric Model
Lips segmentation is a very important step in many applications such as automatic speech reading, MPEG-4 compression, special effects, facial analysis and emotion recognition. In ...
Christian Bouvier, Pierre-Yves Coulon, Xavier Mald...
IBPRIA
2003
Springer
14 years 29 days ago
A Quadtree-Based Unsupervised Segmentation Algorithm for Fruit Visual Inspection
Many segmentation techniques are available in the literature and some of them have been widely used in different application problems. Most of these segmentation techniques were mo...
Adolfo Martínez Usó
AIPR
2008
IEEE
13 years 8 months ago
A spatial feature enhanced MMI algorithm for multi-modal wild-fire image registration
The integration of multi-spectral airborne imagery and geographic data for wildfire and emergency response requires 3D multiple view registration. Registration of maps, visible ima...
Xiaofeng Fan, Harvey E. Rhody
ICIP
2005
IEEE
14 years 9 months ago
A complementary SVMs-based image annotation system
A novel automatic image annotation system is proposed, which integrates two sets of SVMs (Support Vector Machines), namely the MIL-based (Multiple Instance Learning) and global-fe...
Yutao Han, Xiaojun Qi